> For the complete documentation index, see [llms.txt](https://raia2.gitbook.io/raia/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://raia2.gitbook.io/raia/ai-training/partner-training/raia-labs-training/part-3-workflow.md). # Part 3: Workflow ### Workflow (Integration & Automation) {% embed url="" %} Welcome to the final part of your training: Workflow, Integration, and Automation. So far, you have learned how to build intelligent agents with distinct personalities and deep knowledge. In this section, you will learn how to unleash the true power of these agents by connecting them to other systems and automating complex business processes. An AI agent becomes exponentially more valuable when it can not only talk but also *do*. This section will focus on using **n8n**, a powerful workflow automation tool that integrates seamlessly with the raiaAI platform. You will learn how to build workflows that can trigger your AI agents, pass data between applications, and automate tasks that would otherwise require significant manual effort. From simple notifications to complex, multi-step processes, you will discover how to transform your AI agents from standalone conversationalists into the core of a powerful automation engine. By the end of this section, you will be able to design and build end-to-end automated solutions that drive real business value for our clients. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://raia2.gitbook.io/raia/ai-training/partner-training/raia-labs-training/part-3-workflow.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.